Upgrade gradio SDK to 5.50.0

- Bump sdk_version 4.36.0 -> 5.50.0 to address gradio <5.0.0 security advisories
- Drop gradio_imageslider (broken on gradio 5+) and use the native gr.ImageSlider added in 5.27.0
- Unpin huggingface_hub (==0.21.0 conflicts with gradio 5.x's huggingface_hub>=0.33.5)

Co-authored-by: Cursor <cursoragent@cursor.com>

README.md

@@ -4,7 +4,7 @@ emoji: 🌖
 colorFrom: red
 colorTo: indigo
 sdk: gradio
-sdk_version: 4.36.0
+sdk_version: 5.50.0
 app_file: app.py
 pinned: false
 license: apache-2.0

app.py

@@ -7,7 +7,6 @@ from PIL import Image
 import spaces
 import torch
 import tempfile
-from gradio_imageslider import ImageSlider
 from huggingface_hub import hf_hub_download
 
 from depth_anything_v2.dpt import DepthAnythingV2
@@ -62,7 +61,7 @@ with gr.Blocks(css=css) as demo:
 
     with gr.Row():
         input_image = gr.Image(label="Input Image", type='numpy', elem_id='img-display-input')
-        depth_image_slider = ImageSlider(label="Depth Map with Slider View", elem_id='img-display-output', position=0.5)
+        depth_image_slider = gr.ImageSlider(label="Depth Map with Slider View", elem_id='img-display-output', slider_position=50)
     submit = gr.Button(value="Compute Depth")
     gray_depth_file = gr.File(label="Grayscale depth map", elem_id="download",)
     raw_file = gr.File(label="16-bit raw output (can be considered as disparity)", elem_id="download",)

requirements.txt

@@ -1,7 +1,5 @@
-gradio_imageslider
-gradio
 torch
 torchvision
 opencv-python
 matplotlib
-huggingface_hub==0.21.0
+huggingface_hub